Qasim Ali

Detail-oriented Junior Data Specialist with over 1 year of experience in data extraction, cleaning, and automation. Proven ability to scrape 6M+ records and build Python scripts to streamline data processing, significantly reducing turnaround times. Skilled in handling various data formats, applying normalization rules, and resolving data pipeline errors.

Eager to leverage expertise in data manipulation and automation to contribute to [Target Company Name]'s data initiatives and drive efficiency.

Junior Data Specialist - RedCode Solutions

Extracted over 6 million records from more than 350 datasets across automotive, real estate, travel, sports, government, and marketplace sectors, managing an average of 10-15 complex projects monthly.

Processed datasets up to 100K+ rows in CSV, JSON, and Excel formats, meticulously cleaning missing values, duplicates, formatting errors, and inconsistencies prior to each delivery.

Developed 20+ automation scripts in Python, eliminating repetitive extraction and enrichment tasks and significantly reducing turnaround times.

Engineered an end-to-end automated lead generation pipeline, which involved scraping job data from Indeed, validating and enriching contacts via Apollo API, and delivering formatted Excel reports to clients.

Implemented normalization and standardization rules across all deliverables to ensure consistent adherence to client data specifications.

Prepared structured reports and spreadsheets utilizing Excel and Airtable to facilitate analysis and support business reporting workflows.

Troubleshot and resolved data pipeline errors, including missing records, malformed outputs, and broken workflows, to uphold high-quality standards.

Cultivated repeat client relationships through dependable, accurate, and punctual delivery on all projects.

BS in Information Technology (2020 – 2024)